{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/sambell/Dropbox/Air Power and Civilian Deaths/FPA Manuscript/Final Materials/Replicaiton log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}26 May 2020, 14:05:51
{txt}
{com}. 
. *Models Table 1 in manuscript*
. *model 1*
. nbreg internal_collateral  air_dom_disp polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion , cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-20981.955}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15596.348}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15586.351}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15586.346}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15586.346}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1764.7837}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1743.1435}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1742.1258}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1742.1178}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1742.1177}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}    202.49
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1742.1177{txt}{col 49}Pseudo R2{col 67}= {res}    0.0362

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2} 1.021912{col 40}{space 2} .2557122{col 51}{space 1}    4.00{col 60}{space 3}0.000{col 68}{space 4} .5207253{col 81}{space 3} 1.523099
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0064776{col 40}{space 2} .0201716{col 51}{space 1}   -0.32{col 60}{space 3}0.748{col 68}{space 4}-.0460131{col 81}{space 3}  .033058
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .1036038{col 40}{space 2} .0904853{col 51}{space 1}    1.14{col 60}{space 3}0.252{col 68}{space 4}-.0737442{col 81}{space 3} .2809517
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000307{col 40}{space 2} .0000262{col 51}{space 1}    1.17{col 60}{space 3}0.241{col 68}{space 4}-.0000207{col 81}{space 3} .0000821
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4366513{col 40}{space 2} .3465017{col 51}{space 1}    1.26{col 60}{space 3}0.208{col 68}{space 4}-.2424795{col 81}{space 3} 1.115782
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.800231{col 40}{space 2} .2363673{col 51}{space 1}    7.62{col 60}{space 3}0.000{col 68}{space 4}  1.33696{col 81}{space 3} 2.263503
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0324768{col 40}{space 2} .0232037{col 51}{space 1}   -1.40{col 60}{space 3}0.162{col 68}{space 4}-.0779553{col 81}{space 3} .0130017
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .3711453{col 40}{space 2} .2366872{col 51}{space 1}    1.57{col 60}{space 3}0.117{col 68}{space 4} -.092753{col 81}{space 3} .8350437
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.242658{col 40}{space 2} 1.551993{col 51}{space 1}   -0.80{col 60}{space 3}0.423{col 68}{space 4}-4.284508{col 81}{space 3} 1.799192
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2}  1.00991{col 40}{space 2} .1335459{col 68}{space 4} .7481652{col 81}{space 3} 1.271656
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.745355{col 40}{space 2}  .366631{col 68}{space 4} 2.113119{col 81}{space 3} 3.566753
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *model 2*
. nbreg internal_collateral air_govt_support air_oppose_govt  polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion_sup troop_incursion_opp, cluster (cowcode) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-17707.549}  
Iteration 1:{space 3}log pseudolikelihood = {res:-16090.807}  
Iteration 2:{space 3}log pseudolikelihood = {res:-16069.492}  
Iteration 3:{space 3}log pseudolikelihood = {res:-16069.476}  
Iteration 4:{space 3}log pseudolikelihood = {res:-16069.476}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1766.143}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1745.4043}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1742.7746}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1742.7357}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1742.7356}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    150.94
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1742.7356{txt}{col 49}Pseudo R2{col 67}= {res}    0.0358

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} 1.034709{col 40}{space 2} .5284741{col 51}{space 1}    1.96{col 60}{space 3}0.050{col 68}{space 4}-.0010812{col 81}{space 3} 2.070499
{txt}{space 11}air_oppose_govt {c |}{col 28}{res}{space 2}-.1418752{col 40}{space 2} .6282063{col 51}{space 1}   -0.23{col 60}{space 3}0.821{col 68}{space 4}-1.373137{col 81}{space 3} 1.089386
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0122276{col 40}{space 2} .0210361{col 51}{space 1}   -0.58{col 60}{space 3}0.561{col 68}{space 4}-.0534575{col 81}{space 3} .0290023
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2}  .101973{col 40}{space 2} .0891215{col 51}{space 1}    1.14{col 60}{space 3}0.253{col 68}{space 4} -.072702{col 81}{space 3} .2766481
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000284{col 40}{space 2} .0000262{col 51}{space 1}    1.08{col 60}{space 3}0.279{col 68}{space 4} -.000023{col 81}{space 3} .0000798
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4423821{col 40}{space 2} .3203847{col 51}{space 1}    1.38{col 60}{space 3}0.167{col 68}{space 4}-.1855603{col 81}{space 3} 1.070325
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.911296{col 40}{space 2} .2487791{col 51}{space 1}    7.68{col 60}{space 3}0.000{col 68}{space 4} 1.423698{col 81}{space 3} 2.398894
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0321727{col 40}{space 2} .0239124{col 51}{space 1}   -1.35{col 60}{space 3}0.178{col 68}{space 4}-.0790401{col 81}{space 3} .0146948
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .3993749{col 40}{space 2} .2741507{col 51}{space 1}    1.46{col 60}{space 3}0.145{col 68}{space 4}-.1379506{col 81}{space 3} .9367005
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2}-.1237095{col 40}{space 2} .3091879{col 51}{space 1}   -0.40{col 60}{space 3}0.689{col 68}{space 4}-.7297065{col 81}{space 3} .4822876
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.270787{col 40}{space 2}  1.52773{col 51}{space 1}   -0.83{col 60}{space 3}0.406{col 68}{space 4}-4.265083{col 81}{space 3} 1.723509
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.013062{col 40}{space 2} .1315023{col 68}{space 4} .7553222{col 81}{space 3} 1.270802
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.754021{col 40}{space 2}   .36216{col 68}{space 4} 2.128297{col 81}{space 3} 3.563708
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *model 3*
. nbreg internal_collateral  air_dom_disp hrosecloc_merge air_dom_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-28592.283}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15791.884}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15567.801}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15567.484}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15567.483}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1764.6847}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1742.9629}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1741.9368}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1741.9288}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1741.9288}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}    310.67
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1741.9288{txt}{col 49}Pseudo R2{col 67}= {res}    0.0363

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2} 1.078359{col 40}{space 2} .2600645{col 51}{space 1}    4.15{col 60}{space 3}0.000{col 68}{space 4}  .568642{col 81}{space 3} 1.588076
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0326898{col 40}{space 2} .0231677{col 51}{space 1}   -1.41{col 60}{space 3}0.158{col 68}{space 4}-.0780976{col 81}{space 3}  .012718
{txt}{space 15}air_dom_HRO {c |}{col 28}{res}{space 2}-1.262454{col 40}{space 2} .2820229{col 51}{space 1}   -4.48{col 60}{space 3}0.000{col 68}{space 4}-1.815209{col 81}{space 3}-.7096991
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0067051{col 40}{space 2} .0202074{col 51}{space 1}   -0.33{col 60}{space 3}0.740{col 68}{space 4} -.046311{col 81}{space 3} .0329008
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .1061072{col 40}{space 2} .0905874{col 51}{space 1}    1.17{col 60}{space 3}0.241{col 68}{space 4}-.0714408{col 81}{space 3} .2836553
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2}  .000031{col 40}{space 2} .0000262{col 51}{space 1}    1.18{col 60}{space 3}0.237{col 68}{space 4}-.0000204{col 81}{space 3} .0000824
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4402304{col 40}{space 2} .3470228{col 51}{space 1}    1.27{col 60}{space 3}0.205{col 68}{space 4}-.2399217{col 81}{space 3} 1.120383
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.793945{col 40}{space 2}  .236444{col 51}{space 1}    7.59{col 60}{space 3}0.000{col 68}{space 4} 1.330524{col 81}{space 3} 2.257367
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .3726122{col 40}{space 2} .2370189{col 51}{space 1}    1.57{col 60}{space 3}0.116{col 68}{space 4}-.0919362{col 81}{space 3} .8371607
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.280213{col 40}{space 2} 1.552954{col 51}{space 1}   -0.82{col 60}{space 3}0.410{col 68}{space 4}-4.323947{col 81}{space 3} 1.763521
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.009037{col 40}{space 2} .1338366{col 68}{space 4} .7467223{col 81}{space 3} 1.271352
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.742959{col 40}{space 2} .3671082{col 68}{space 4} 2.110073{col 81}{space 3}  3.56567
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *model 4*
. nbreg internal_collateral  air_govt_support hrosecloc_merge air_govt_sup_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion_sup, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -17721.67}  
Iteration 1:{space 3}log pseudolikelihood = {res:-16205.792}  
Iteration 2:{space 3}log pseudolikelihood = {res:-16186.359}  
Iteration 3:{space 3}log pseudolikelihood = {res:-16186.313}  
Iteration 4:{space 3}log pseudolikelihood = {res:-16186.313}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1765.6618}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1744.107}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1742.7584}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1742.746}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1742.746}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(8)}{col 67}=          {res}.
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res} -1742.746{txt}{col 49}Pseudo R2{col 67}= {res}    0.0358

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} .9443252{col 40}{space 2} .3124586{col 51}{space 1}    3.02{col 60}{space 3}0.003{col 68}{space 4} .3319176{col 81}{space 3} 1.556733
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0324796{col 40}{space 2} .0239798{col 51}{space 1}   -1.35{col 60}{space 3}0.176{col 68}{space 4}-.0794792{col 81}{space 3}   .01452
{txt}{space 10}air_govt_sup_HRO {c |}{col 28}{res}{space 2}-1.208479{col 40}{space 2} .2599341{col 51}{space 1}   -4.65{col 60}{space 3}0.000{col 68}{space 4} -1.71794{col 81}{space 3}-.6990176
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0108254{col 40}{space 2} .0212079{col 51}{space 1}   -0.51{col 60}{space 3}0.610{col 68}{space 4} -.052392{col 81}{space 3} .0307413
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .1028358{col 40}{space 2} .0886285{col 51}{space 1}    1.16{col 60}{space 3}0.246{col 68}{space 4}-.0708728{col 81}{space 3} .2765445
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2}  .000029{col 40}{space 2} .0000263{col 51}{space 1}    1.10{col 60}{space 3}0.270{col 68}{space 4}-.0000225{col 81}{space 3} .0000806
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4677989{col 40}{space 2} .3247716{col 51}{space 1}    1.44{col 60}{space 3}0.150{col 68}{space 4}-.1687417{col 81}{space 3} 1.104339
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.887191{col 40}{space 2} .2276465{col 51}{space 1}    8.29{col 60}{space 3}0.000{col 68}{space 4} 1.441012{col 81}{space 3}  2.33337
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .3954558{col 40}{space 2} .2727024{col 51}{space 1}    1.45{col 60}{space 3}0.147{col 68}{space 4}-.1390312{col 81}{space 3} .9299428
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.285673{col 40}{space 2} 1.525094{col 51}{space 1}   -0.84{col 60}{space 3}0.399{col 68}{space 4}-4.274802{col 81}{space 3} 1.703456
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.013026{col 40}{space 2} .1325625{col 68}{space 4} .7532085{col 81}{space 3} 1.272844
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.753922{col 40}{space 2} .3650667{col 68}{space 4} 2.123803{col 81}{space 3} 3.570993
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *model 5*
.  nbreg internal_collateral  air_oppose_govt hrosecloc_merge air_govt_opp_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level   troop_incursion_opp, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-16346.065}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15726.428}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15719.548}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15719.507}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15719.507}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1772.2385}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1749.0001}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1745.3382}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1744.3678}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1744.3575}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1744.3575}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}    173.35
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1744.3575{txt}{col 49}Pseudo R2{col 67}= {res}    0.0349

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}air_oppose_govt {c |}{col 28}{res}{space 2} .8195326{col 40}{space 2} .3842179{col 51}{space 1}    2.13{col 60}{space 3}0.033{col 68}{space 4} .0664793{col 81}{space 3} 1.572586
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2} -.028017{col 40}{space 2} .0246279{col 51}{space 1}   -1.14{col 60}{space 3}0.255{col 68}{space 4}-.0762869{col 81}{space 3} .0202529
{txt}{space 10}air_govt_opp_HRO {c |}{col 28}{res}{space 2}-1.450798{col 40}{space 2} .4262561{col 51}{space 1}   -3.40{col 60}{space 3}0.001{col 68}{space 4}-2.286245{col 81}{space 3}-.6153513
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2} .0006119{col 40}{space 2} .0212965{col 51}{space 1}    0.03{col 60}{space 3}0.977{col 68}{space 4}-.0411285{col 81}{space 3} .0423522
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2}  .043285{col 40}{space 2} .0856462{col 51}{space 1}    0.51{col 60}{space 3}0.613{col 68}{space 4}-.1245785{col 81}{space 3} .2111485
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000198{col 40}{space 2} .0000272{col 51}{space 1}    0.73{col 60}{space 3}0.466{col 68}{space 4}-.0000335{col 81}{space 3} .0000732
{txt}{space 16}government {c |}{col 28}{res}{space 2} .5475179{col 40}{space 2} .3374425{col 51}{space 1}    1.62{col 60}{space 3}0.105{col 68}{space 4}-.1138574{col 81}{space 3} 1.208893
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.861021{col 40}{space 2} .2398118{col 51}{space 1}    7.76{col 60}{space 3}0.000{col 68}{space 4} 1.390999{col 81}{space 3} 2.331044
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2}-.0016088{col 40}{space 2} .2814833{col 51}{space 1}   -0.01{col 60}{space 3}0.995{col 68}{space 4}-.5533059{col 81}{space 3} .5500884
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.2083561{col 40}{space 2} 1.517694{col 51}{space 1}   -0.14{col 60}{space 3}0.891{col 68}{space 4}-3.182981{col 81}{space 3} 2.766269
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.019908{col 40}{space 2} .1322097{col 68}{space 4}  .760782{col 81}{space 3} 1.279034
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2}  2.77294{col 40}{space 2} .3666095{col 68}{space 4} 2.139949{col 81}{space 3} 3.593169
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  
. *Figure 1 - this code generates the marginal effect predictions from table 1 - model 3. Those predictions and confidence intervals are then entered into a separate data file and plotted to produce figure 1* 
. estsimp nbreg internal_collateral  air_dom_disp hrosecloc_merge air_dom_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion, cluster (cowcode)

{txt}Fitting Poisson model:

Iteration 0:{col 16}log pseudolikelihood = {res}-28592.283{txt}  
Iteration 1:{col 16}log pseudolikelihood = {res}-15791.884{txt}  
Iteration 2:{col 16}log pseudolikelihood = {res}-15567.801{txt}  
Iteration 3:{col 16}log pseudolikelihood = {res}-15567.484{txt}  
Iteration 4:{col 16}log pseudolikelihood = {res}-15567.483{txt}  
{res}
{txt}Fitting constant-only model:

Iteration 0:{col 16}log pseudolikelihood = {res}-2079.3304{txt}  
Iteration 1:{col 16}log pseudolikelihood = {res}-1808.6693{txt}  
Iteration 2:{col 16}log pseudolikelihood = {res}-1807.4598{txt}  
Iteration 3:{col 16}log pseudolikelihood = {res}-1807.4585{txt}  
Iteration 4:{col 16}log pseudolikelihood = {res}-1807.4585{txt}  
{res}
{txt}Fitting full model:

Iteration 0:{col 16}log pseudolikelihood = {res}-1764.6847{txt}  
Iteration 1:{col 16}log pseudolikelihood = {res}-1742.9629{txt}  
Iteration 2:{col 16}log pseudolikelihood = {res}-1741.9368{txt}  
Iteration 3:{col 16}log pseudolikelihood = {res}-1741.9288{txt}  
Iteration 4:{col 16}log pseudolikelihood = {res}-1741.9288{txt}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}    310.67
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1741.9288{txt}{col 49}Pseudo R2{col 67}= {res}    0.0363

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2} 1.078359{col 40}{space 2} .2600645{col 51}{space 1}    4.15{col 60}{space 3}0.000{col 68}{space 4}  .568642{col 81}{space 3} 1.588076
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0326898{col 40}{space 2} .0231677{col 51}{space 1}   -1.41{col 60}{space 3}0.158{col 68}{space 4}-.0780976{col 81}{space 3}  .012718
{txt}{space 15}air_dom_HRO {c |}{col 28}{res}{space 2}-1.262454{col 40}{space 2} .2820229{col 51}{space 1}   -4.48{col 60}{space 3}0.000{col 68}{space 4}-1.815209{col 81}{space 3}-.7096991
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0067051{col 40}{space 2} .0202074{col 51}{space 1}   -0.33{col 60}{space 3}0.740{col 68}{space 4} -.046311{col 81}{space 3} .0329008
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .1061072{col 40}{space 2} .0905874{col 51}{space 1}    1.17{col 60}{space 3}0.241{col 68}{space 4}-.0714408{col 81}{space 3} .2836553
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2}  .000031{col 40}{space 2} .0000262{col 51}{space 1}    1.18{col 60}{space 3}0.237{col 68}{space 4}-.0000204{col 81}{space 3} .0000824
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4402304{col 40}{space 2} .3470228{col 51}{space 1}    1.27{col 60}{space 3}0.205{col 68}{space 4}-.2399217{col 81}{space 3} 1.120383
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.793945{col 40}{space 2}  .236444{col 51}{space 1}    7.59{col 60}{space 3}0.000{col 68}{space 4} 1.330524{col 81}{space 3} 2.257367
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .3726122{col 40}{space 2} .2370189{col 51}{space 1}    1.57{col 60}{space 3}0.116{col 68}{space 4}-.0919362{col 81}{space 3} .8371607
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.280213{col 40}{space 2} 1.552954{col 51}{space 1}   -0.82{col 60}{space 3}0.410{col 68}{space 4}-4.323947{col 81}{space 3} 1.763521
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  /lnalpha {c |}{col 28}{res}{space 2} 1.009037{col 40}{space 2} .1338366{col 68}{space 4} .7467223{col 81}{space 3} 1.271352
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.742959{col 40}{space 2} .3671082{col 68}{space 4} 2.110073{col 81}{space 3}  3.56567
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}Simulating main parameters.  Please wait....
% of simulations completed: 9% 18% 27% 36% 45% 54% 63% 72% 81% 90% 100% 

Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11
{txt}
{com}. 
. setx mean
{txt}
{com}. setx government 1
{txt}
{com}. setx intensity_level 1
{txt}
{com}. setx troop_incursion 0 
{txt}
{com}. 
. *varying value of Z*
. setx hrosecloc_merge  0
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO 0 0) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO 0 0

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res} 35.99753     15.85976     12.55022    74.55028
{txt}
{com}. setx hrosecloc_merge 1
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO 0 1) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO 0 1

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res}-2.607384     3.823388    -9.600339    5.563998
{txt}
{com}. setx hrosecloc_merge 2
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO  0 2) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO  0 2

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res}-12.15623     3.531643     -19.2248   -5.292692
{txt}
{com}. setx hrosecloc_merge 3
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO  0 3) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO  0 3

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res}-14.44181      3.23959     -21.3372   -8.708815
{txt}
{com}. setx hrosecloc_merge 4
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO  0 4) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO  0 4

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res}-14.77821     3.079599    -21.48804   -9.486702
{txt}
{com}. setx hrosecloc_merge 5
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO  0 5) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO  0 5

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res}-14.56143     3.027587    -21.12812   -9.511182
{txt}
{com}. setx hrosecloc_merge 6
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO  0 6) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO  0 6

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res}-14.18565     3.038008    -21.05887   -8.957754
{txt}
{com}. setx hrosecloc_merge 7
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO  0 7) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO  0 7

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res}-13.77002      3.08576     -20.5976   -8.531982
{txt}
{com}. setx hrosecloc_merge 8
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO  0 8) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO  0 8

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res}-13.35276     3.157387     -20.4214   -8.052233
{txt}
{com}. setx hrosecloc_merge 9
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO  0 9) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO  0 9

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res}-12.94662     3.244898    -20.25944   -7.628525
{txt}
{com}. setx hrosecloc_merge 10
{txt}
{com}. simqi, fd(ev) changex(air_dom_disp 0 1  air_dom_HRO  0 10) level(95)

{res}First Difference: air_dom_disp 0 1  air_dom_HRO  0 10

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
              dE(intern~l) |  {res}-12.55577     3.343058    -20.06472   -7.079589
{txt}
{com}. 
. 
. 
. *Table A1*
. probit internal_col_mean_di  air_dom_disp polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion , cluster (cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-229.05203}  
Iteration 1:{space 3}log pseudolikelihood = {res:-184.30947}  
Iteration 2:{space 3}log pseudolikelihood = {res:-183.76849}  
Iteration 3:{space 3}log pseudolikelihood = {res:-183.76811}  
Iteration 4:{space 3}log pseudolikelihood = {res:-183.76811}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     91.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-183.76811{txt}{col 49}Pseudo R2{col 67}= {res}    0.1977

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}      internal_col_mean_di{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2}  .847691{col 40}{space 2} .3455485{col 51}{space 1}    2.45{col 60}{space 3}0.014{col 68}{space 4} .1704283{col 81}{space 3} 1.524954
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2} .0073499{col 40}{space 2}  .016069{col 51}{space 1}    0.46{col 60}{space 3}0.647{col 68}{space 4}-.0241448{col 81}{space 3} .0388445
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0622481{col 40}{space 2} .1131596{col 51}{space 1}    0.55{col 60}{space 3}0.582{col 68}{space 4}-.1595407{col 81}{space 3} .2840369
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000176{col 40}{space 2} .0000385{col 51}{space 1}    0.46{col 60}{space 3}0.648{col 68}{space 4}-.0000579{col 81}{space 3}  .000093
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4238278{col 40}{space 2} .2523701{col 51}{space 1}    1.68{col 60}{space 3}0.093{col 68}{space 4}-.0708085{col 81}{space 3} .9184641
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.164329{col 40}{space 2} .1571385{col 51}{space 1}    7.41{col 60}{space 3}0.000{col 68}{space 4}  .856343{col 81}{space 3} 1.472315
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0089364{col 40}{space 2} .0237447{col 51}{space 1}   -0.38{col 60}{space 3}0.707{col 68}{space 4}-.0554752{col 81}{space 3} .0376025
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .4984029{col 40}{space 2} .2310894{col 51}{space 1}    2.16{col 60}{space 3}0.031{col 68}{space 4} .0454759{col 81}{space 3} .9513298
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-3.961155{col 40}{space 2} 2.011312{col 51}{space 1}   -1.97{col 60}{space 3}0.049{col 68}{space 4}-7.903255{col 81}{space 3}-.0190548
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. probit internal_col_mean_di air_govt_support air_oppose_govt  polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion_sup troop_incursion_opp, cluster (cowcode) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-229.05203}  
Iteration 1:{space 3}log pseudolikelihood = {res:-184.37446}  
Iteration 2:{space 3}log pseudolikelihood = {res:-183.81184}  
Iteration 3:{space 3}log pseudolikelihood = {res:-183.81149}  
Iteration 4:{space 3}log pseudolikelihood = {res:-183.81149}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     84.50
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-183.81149{txt}{col 49}Pseudo R2{col 67}= {res}    0.1975

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}      internal_col_mean_di{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} .9346933{col 40}{space 2} .4334048{col 51}{space 1}    2.16{col 60}{space 3}0.031{col 68}{space 4} .0852354{col 81}{space 3} 1.784151
{txt}{space 11}air_oppose_govt {c |}{col 28}{res}{space 2}-.6214523{col 40}{space 2} .4862572{col 51}{space 1}   -1.28{col 60}{space 3}0.201{col 68}{space 4}-1.574499{col 81}{space 3} .3315944
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0008453{col 40}{space 2} .0159017{col 51}{space 1}   -0.05{col 60}{space 3}0.958{col 68}{space 4} -.032012{col 81}{space 3} .0303214
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2}  .066122{col 40}{space 2} .1080641{col 51}{space 1}    0.61{col 60}{space 3}0.541{col 68}{space 4}-.1456798{col 81}{space 3} .2779238
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2}  .000015{col 40}{space 2} .0000391{col 51}{space 1}    0.38{col 60}{space 3}0.701{col 68}{space 4}-.0000616{col 81}{space 3} .0000916
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4194575{col 40}{space 2}   .24596{col 51}{space 1}    1.71{col 60}{space 3}0.088{col 68}{space 4}-.0626153{col 81}{space 3} .9015303
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.177977{col 40}{space 2} .1607939{col 51}{space 1}    7.33{col 60}{space 3}0.000{col 68}{space 4} .8628271{col 81}{space 3} 1.493128
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0075088{col 40}{space 2} .0242248{col 51}{space 1}   -0.31{col 60}{space 3}0.757{col 68}{space 4}-.0549885{col 81}{space 3} .0399708
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .4978634{col 40}{space 2} .2315791{col 51}{space 1}    2.15{col 60}{space 3}0.032{col 68}{space 4} .0439767{col 81}{space 3} .9517501
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2}  .443875{col 40}{space 2} .3118298{col 51}{space 1}    1.42{col 60}{space 3}0.155{col 68}{space 4}-.1673002{col 81}{space 3}  1.05505
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-3.958843{col 40}{space 2} 1.902285{col 51}{space 1}   -2.08{col 60}{space 3}0.037{col 68}{space 4}-7.687254{col 81}{space 3}-.2304324
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table A2*
. nbreg internal_collateral  air_dom_disp polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion report , cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -19811.58}  
Iteration 1:{space 3}log pseudolikelihood = {res:-14857.861}  
Iteration 2:{space 3}log pseudolikelihood = {res:-14841.135}  
Iteration 3:{space 3}log pseudolikelihood = {res:-14841.117}  
Iteration 4:{space 3}log pseudolikelihood = {res:-14841.117}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2055.8275}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1785.5344}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1784.2537}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1784.2522}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1784.2522}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1749.6093}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1721.541}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1717.4837}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1717.4224}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1717.4223}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       432
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}    218.62
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1717.4223{txt}{col 49}Pseudo R2{col 67}= {res}    0.0375

{txt}{ralign 92:(Std. Err. adjusted for {res:62} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2} 1.059194{col 40}{space 2} .2633911{col 51}{space 1}    4.02{col 60}{space 3}0.000{col 68}{space 4} .5429568{col 81}{space 3} 1.575431
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0118057{col 40}{space 2} .0210215{col 51}{space 1}   -0.56{col 60}{space 3}0.574{col 68}{space 4}-.0530071{col 81}{space 3} .0293956
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2}  .067542{col 40}{space 2} .1130139{col 51}{space 1}    0.60{col 60}{space 3}0.550{col 68}{space 4}-.1539612{col 81}{space 3} .2890452
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000222{col 40}{space 2}   .00003{col 51}{space 1}    0.74{col 60}{space 3}0.460{col 68}{space 4}-.0000367{col 81}{space 3} .0000811
{txt}{space 16}government {c |}{col 28}{res}{space 2} .5337494{col 40}{space 2} .3061483{col 51}{space 1}    1.74{col 60}{space 3}0.081{col 68}{space 4}-.0662902{col 81}{space 3} 1.133789
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.717013{col 40}{space 2} .2167088{col 51}{space 1}    7.92{col 60}{space 3}0.000{col 68}{space 4} 1.292271{col 81}{space 3} 2.141754
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0579448{col 40}{space 2} .0540498{col 51}{space 1}   -1.07{col 60}{space 3}0.284{col 68}{space 4}-.1638804{col 81}{space 3} .0479908
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .3585956{col 40}{space 2} .2357329{col 51}{space 1}    1.52{col 60}{space 3}0.128{col 68}{space 4}-.1034324{col 81}{space 3} .8206236
{txt}{space 20}report {c |}{col 28}{res}{space 2} .0000131{col 40}{space 2} 9.62e-06{col 51}{space 1}    1.36{col 60}{space 3}0.174{col 68}{space 4}-5.79e-06{col 81}{space 3} .0000319
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.6564169{col 40}{space 2} 1.847327{col 51}{space 1}   -0.36{col 60}{space 3}0.722{col 68}{space 4}-4.277111{col 81}{space 3} 2.964277
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.006373{col 40}{space 2} .1383123{col 68}{space 4} .7352857{col 81}{space 3}  1.27746
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2}  2.73566{col 40}{space 2} .3783756{col 68}{space 4} 2.086078{col 81}{space 3} 3.587516
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral air_govt_support air_oppose_govt  polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion_sup troop_incursion_opp report,  cluster (cowcode) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-16708.321}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15235.768}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15215.922}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15215.908}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15215.908}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2055.8275}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1785.5344}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1784.2537}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1784.2522}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1784.2522}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1755.9934}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1728.8683}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1718.252}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1718.1074}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1718.1072}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       432
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    168.93
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1718.1072{txt}{col 49}Pseudo R2{col 67}= {res}    0.0371

{txt}{ralign 92:(Std. Err. adjusted for {res:62} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} 1.082965{col 40}{space 2} .5652898{col 51}{space 1}    1.92{col 60}{space 3}0.055{col 68}{space 4}-.0249829{col 81}{space 3} 2.190912
{txt}{space 11}air_oppose_govt {c |}{col 28}{res}{space 2}-.1227694{col 40}{space 2} .6433601{col 51}{space 1}   -0.19{col 60}{space 3}0.849{col 68}{space 4}-1.383732{col 81}{space 3} 1.138193
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0176234{col 40}{space 2}   .02158{col 51}{space 1}   -0.82{col 60}{space 3}0.414{col 68}{space 4}-.0599193{col 81}{space 3} .0246726
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0646095{col 40}{space 2} .1161913{col 51}{space 1}    0.56{col 60}{space 3}0.578{col 68}{space 4}-.1631213{col 81}{space 3} .2923404
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000198{col 40}{space 2}  .000031{col 51}{space 1}    0.64{col 60}{space 3}0.523{col 68}{space 4}-.0000409{col 81}{space 3} .0000805
{txt}{space 16}government {c |}{col 28}{res}{space 2} .5340202{col 40}{space 2} .2821411{col 51}{space 1}    1.89{col 60}{space 3}0.058{col 68}{space 4}-.0189663{col 81}{space 3} 1.087007
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.827135{col 40}{space 2} .2302431{col 51}{space 1}    7.94{col 60}{space 3}0.000{col 68}{space 4} 1.375867{col 81}{space 3} 2.278403
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2} -.055821{col 40}{space 2} .0565284{col 51}{space 1}   -0.99{col 60}{space 3}0.323{col 68}{space 4}-.1666146{col 81}{space 3} .0549725
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .3692902{col 40}{space 2} .2730844{col 51}{space 1}    1.35{col 60}{space 3}0.176{col 68}{space 4}-.1659454{col 81}{space 3} .9045259
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2}-.1280209{col 40}{space 2} .2912594{col 51}{space 1}   -0.44{col 60}{space 3}0.660{col 68}{space 4}-.6988789{col 81}{space 3} .4428371
{txt}{space 20}report {c |}{col 28}{res}{space 2} .0000128{col 40}{space 2} .0000102{col 51}{space 1}    1.26{col 60}{space 3}0.208{col 68}{space 4}-7.13e-06{col 81}{space 3} .0000327
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.6576904{col 40}{space 2} 1.888492{col 51}{space 1}   -0.35{col 60}{space 3}0.728{col 68}{space 4}-4.359068{col 81}{space 3} 3.043687
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.009894{col 40}{space 2} .1368441{col 68}{space 4} .7416842{col 81}{space 3} 1.278103
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.745309{col 40}{space 2} .3756793{col 68}{space 4} 2.099468{col 81}{space 3} 3.589824
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_dom_disp hrosecloc_merge air_dom_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion report, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-26127.896}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15015.759}  
Iteration 2:{space 3}log pseudolikelihood = {res:-14829.791}  
Iteration 3:{space 3}log pseudolikelihood = {res:-14829.501}  
Iteration 4:{space 3}log pseudolikelihood = {res:-14829.501}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2055.8275}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1785.5344}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1784.2537}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1784.2522}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1784.2522}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1749.2962}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1721.3125}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1717.298}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1717.2392}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1717.2391}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       432
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(9)}{col 67}=          {res}.
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1717.2391{txt}{col 49}Pseudo R2{col 67}= {res}    0.0376

{txt}{ralign 92:(Std. Err. adjusted for {res:62} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2}  1.11513{col 40}{space 2} .2711256{col 51}{space 1}    4.11{col 60}{space 3}0.000{col 68}{space 4}  .583734{col 81}{space 3} 1.646527
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0581957{col 40}{space 2} .0536363{col 51}{space 1}   -1.09{col 60}{space 3}0.278{col 68}{space 4}-.1633209{col 81}{space 3} .0469296
{txt}{space 15}air_dom_HRO {c |}{col 28}{res}{space 2}-1.237354{col 40}{space 2} .2941114{col 51}{space 1}   -4.21{col 60}{space 3}0.000{col 68}{space 4}-1.813801{col 81}{space 3}-.6609059
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0120136{col 40}{space 2} .0210216{col 51}{space 1}   -0.57{col 60}{space 3}0.568{col 68}{space 4}-.0532151{col 81}{space 3} .0291879
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0702188{col 40}{space 2} .1126616{col 51}{space 1}    0.62{col 60}{space 3}0.533{col 68}{space 4}-.1505938{col 81}{space 3} .2910315
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000225{col 40}{space 2} .0000299{col 51}{space 1}    0.75{col 60}{space 3}0.453{col 68}{space 4}-.0000362{col 81}{space 3} .0000811
{txt}{space 16}government {c |}{col 28}{res}{space 2} .5370327{col 40}{space 2} .3066526{col 51}{space 1}    1.75{col 60}{space 3}0.080{col 68}{space 4}-.0639954{col 81}{space 3} 1.138061
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.710584{col 40}{space 2} .2167489{col 51}{space 1}    7.89{col 60}{space 3}0.000{col 68}{space 4} 1.285764{col 81}{space 3} 2.135404
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .3599568{col 40}{space 2} .2360962{col 51}{space 1}    1.52{col 60}{space 3}0.127{col 68}{space 4}-.1027831{col 81}{space 3} .8226968
{txt}{space 20}report {c |}{col 28}{res}{space 2}  .000013{col 40}{space 2} 9.53e-06{col 51}{space 1}    1.37{col 60}{space 3}0.171{col 68}{space 4}-5.64e-06{col 81}{space 3} .0000317
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.6959551{col 40}{space 2} 1.842603{col 51}{space 1}   -0.38{col 60}{space 3}0.706{col 68}{space 4}-4.307392{col 81}{space 3} 2.915481
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2}  1.00551{col 40}{space 2} .1385759{col 68}{space 4} .7339058{col 81}{space 3} 1.277113
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2}   2.7333{col 40}{space 2} .3787694{col 68}{space 4} 2.083201{col 81}{space 3} 3.586272
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_govt_support hrosecloc_merge air_govt_sup_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion_sup report, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-16778.447}  
Iteration 1:{space 3}log pseudolikelihood = {res: -15369.67}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15353.276}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15353.247}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15353.247}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2055.8275}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1785.5344}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1784.2537}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1784.2522}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1784.2522}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1754.2585}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1724.6566}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1718.2193}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1718.1064}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1718.1064}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       432
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    238.99
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1718.1064{txt}{col 49}Pseudo R2{col 67}= {res}    0.0371

{txt}{ralign 92:(Std. Err. adjusted for {res:62} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} .9951829{col 40}{space 2}  .327547{col 51}{space 1}    3.04{col 60}{space 3}0.002{col 68}{space 4} .3532026{col 81}{space 3} 1.637163
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0560439{col 40}{space 2} .0567281{col 51}{space 1}   -0.99{col 60}{space 3}0.323{col 68}{space 4} -.167229{col 81}{space 3} .0551412
{txt}{space 10}air_govt_sup_HRO {c |}{col 28}{res}{space 2}-1.178128{col 40}{space 2} .2736043{col 51}{space 1}   -4.31{col 60}{space 3}0.000{col 68}{space 4}-1.714382{col 81}{space 3}-.6418731
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0163528{col 40}{space 2} .0219553{col 51}{space 1}   -0.74{col 60}{space 3}0.456{col 68}{space 4}-.0593843{col 81}{space 3} .0266787
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0654622{col 40}{space 2} .1154803{col 51}{space 1}    0.57{col 60}{space 3}0.571{col 68}{space 4} -.160875{col 81}{space 3} .2917994
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000203{col 40}{space 2}  .000031{col 51}{space 1}    0.65{col 60}{space 3}0.513{col 68}{space 4}-.0000405{col 81}{space 3} .0000811
{txt}{space 16}government {c |}{col 28}{res}{space 2} .5588354{col 40}{space 2} .2897808{col 51}{space 1}    1.93{col 60}{space 3}0.054{col 68}{space 4}-.0091245{col 81}{space 3} 1.126795
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.802791{col 40}{space 2} .2113841{col 51}{space 1}    8.53{col 60}{space 3}0.000{col 68}{space 4} 1.388485{col 81}{space 3} 2.217096
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .3645157{col 40}{space 2} .2720254{col 51}{space 1}    1.34{col 60}{space 3}0.180{col 68}{space 4}-.1686443{col 81}{space 3} .8976756
{txt}{space 20}report {c |}{col 28}{res}{space 2} .0000128{col 40}{space 2} .0000102{col 51}{space 1}    1.26{col 60}{space 3}0.209{col 68}{space 4}-7.17e-06{col 81}{space 3} .0000328
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.6709949{col 40}{space 2} 1.882723{col 51}{space 1}   -0.36{col 60}{space 3}0.722{col 68}{space 4}-4.361065{col 81}{space 3} 3.019075
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.009804{col 40}{space 2} .1377645{col 68}{space 4}   .73979{col 81}{space 3} 1.279817
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.745062{col 40}{space 2} .3781721{col 68}{space 4} 2.095495{col 81}{space 3} 3.595982
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_oppose_govt hrosecloc_merge air_govt_opp_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level   troop_incursion_opp report, cluster (cowcode) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-15353.279}  
Iteration 1:{space 3}log pseudolikelihood = {res:-14655.261}  
Iteration 2:{space 3}log pseudolikelihood = {res:-14647.611}  
Iteration 3:{space 3}log pseudolikelihood = {res:-14647.563}  
Iteration 4:{space 3}log pseudolikelihood = {res:-14647.563}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2055.8275}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1785.5344}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1784.2537}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1784.2522}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1784.2522}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1776.6213}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1741.7902}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1727.1451}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1720.1774}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1719.5607}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1719.5488}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1719.5488}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       432
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    200.13
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1719.5488{txt}{col 49}Pseudo R2{col 67}= {res}    0.0363

{txt}{ralign 92:(Std. Err. adjusted for {res:62} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}air_oppose_govt {c |}{col 28}{res}{space 2} .8822199{col 40}{space 2} .3888408{col 51}{space 1}    2.27{col 60}{space 3}0.023{col 68}{space 4}  .120106{col 81}{space 3} 1.644334
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0514373{col 40}{space 2} .0608256{col 51}{space 1}   -0.85{col 60}{space 3}0.398{col 68}{space 4}-.1706532{col 81}{space 3} .0677787
{txt}{space 10}air_govt_opp_HRO {c |}{col 28}{res}{space 2}-1.455291{col 40}{space 2} .4373004{col 51}{space 1}   -3.33{col 60}{space 3}0.001{col 68}{space 4}-2.312384{col 81}{space 3}-.5981982
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0057064{col 40}{space 2} .0224957{col 51}{space 1}   -0.25{col 60}{space 3}0.800{col 68}{space 4}-.0497971{col 81}{space 3} .0383844
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0082586{col 40}{space 2} .1169845{col 51}{space 1}    0.07{col 60}{space 3}0.944{col 68}{space 4}-.2210267{col 81}{space 3} .2375439
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000121{col 40}{space 2} .0000332{col 51}{space 1}    0.37{col 60}{space 3}0.715{col 68}{space 4} -.000053{col 81}{space 3} .0000773
{txt}{space 16}government {c |}{col 28}{res}{space 2} .6470293{col 40}{space 2} .2886339{col 51}{space 1}    2.24{col 60}{space 3}0.025{col 68}{space 4} .0813173{col 81}{space 3} 1.212741
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.773798{col 40}{space 2} .2190194{col 51}{space 1}    8.10{col 60}{space 3}0.000{col 68}{space 4} 1.344528{col 81}{space 3} 2.203068
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2}-.0083163{col 40}{space 2} .2693308{col 51}{space 1}   -0.03{col 60}{space 3}0.975{col 68}{space 4}-.5361949{col 81}{space 3} .5195624
{txt}{space 20}report {c |}{col 28}{res}{space 2} .0000131{col 40}{space 2} .0000112{col 51}{space 1}    1.17{col 60}{space 3}0.240{col 68}{space 4}-8.76e-06{col 81}{space 3}  .000035
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3527086{col 40}{space 2} 1.926486{col 51}{space 1}    0.18{col 60}{space 3}0.855{col 68}{space 4}-3.423134{col 81}{space 3} 4.128551
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.015923{col 40}{space 2} .1376151{col 68}{space 4}  .746202{col 81}{space 3} 1.285643
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2}  2.76191{col 40}{space 2} .3800805{col 68}{space 4} 2.108975{col 81}{space 3} 3.616994
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *Table A3*
. 
. nbreg internal_collateral  air_dom_disp polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion humanitarian , cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-20692.579}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15422.029}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15411.812}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15411.807}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15411.807}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1765.2002}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1743.2915}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1742.0962}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1742.0831}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1742.0831}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}    210.78
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1742.0831{txt}{col 49}Pseudo R2{col 67}= {res}    0.0362

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2} .9916624{col 40}{space 2}  .293062{col 51}{space 1}    3.38{col 60}{space 3}0.001{col 68}{space 4} .4172714{col 81}{space 3} 1.566053
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2} -.006703{col 40}{space 2} .0201316{col 51}{space 1}   -0.33{col 60}{space 3}0.739{col 68}{space 4}-.0461602{col 81}{space 3} .0327542
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .1068781{col 40}{space 2} .0899692{col 51}{space 1}    1.19{col 60}{space 3}0.235{col 68}{space 4}-.0694582{col 81}{space 3} .2832144
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000312{col 40}{space 2}  .000026{col 51}{space 1}    1.20{col 60}{space 3}0.230{col 68}{space 4}-.0000197{col 81}{space 3}  .000082
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4414004{col 40}{space 2} .3438264{col 51}{space 1}    1.28{col 60}{space 3}0.199{col 68}{space 4} -.232487{col 81}{space 3} 1.115288
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.800119{col 40}{space 2} .2371424{col 51}{space 1}    7.59{col 60}{space 3}0.000{col 68}{space 4} 1.335328{col 81}{space 3} 2.264909
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2} -.032785{col 40}{space 2} .0231514{col 51}{space 1}   -1.42{col 60}{space 3}0.157{col 68}{space 4}-.0781608{col 81}{space 3} .0125908
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .3252958{col 40}{space 2} .3691636{col 51}{space 1}    0.88{col 60}{space 3}0.378{col 68}{space 4}-.3982515{col 81}{space 3} 1.048843
{txt}{space 14}humanitarian {c |}{col 28}{res}{space 2} .0829824{col 40}{space 2}  .406161{col 51}{space 1}    0.20{col 60}{space 3}0.838{col 68}{space 4}-.7130785{col 81}{space 3} .8790433
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.302419{col 40}{space 2}  1.53158{col 51}{space 1}   -0.85{col 60}{space 3}0.395{col 68}{space 4}-4.304262{col 81}{space 3} 1.699423
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2}  1.00975{col 40}{space 2} .1337204{col 68}{space 4} .7476631{col 81}{space 3} 1.271837
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.744915{col 40}{space 2}  .367051{col 68}{space 4} 2.112058{col 81}{space 3} 3.567401
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_govt_support air_oppose_govt  polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion_sup troop_incursion_opp humanitarian, cluster (cowcode) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-16889.577}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15583.017}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15564.858}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15564.816}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15564.816}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1766.4163}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1748.138}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1742.6161}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1742.4772}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1742.477}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    154.99
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1742.477{txt}{col 49}Pseudo R2{col 67}= {res}    0.0360

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} 1.117512{col 40}{space 2} .5188721{col 51}{space 1}    2.15{col 60}{space 3}0.031{col 68}{space 4} .1005418{col 81}{space 3} 2.134483
{txt}{space 11}air_oppose_govt {c |}{col 28}{res}{space 2}-.2688041{col 40}{space 2} .5738872{col 51}{space 1}   -0.47{col 60}{space 3}0.640{col 68}{space 4}-1.393602{col 81}{space 3} .8559942
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0111077{col 40}{space 2} .0210303{col 51}{space 1}   -0.53{col 60}{space 3}0.597{col 68}{space 4}-.0523264{col 81}{space 3}  .030111
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .1073415{col 40}{space 2}  .089204{col 51}{space 1}    1.20{col 60}{space 3}0.229{col 68}{space 4}-.0674952{col 81}{space 3} .2821782
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000293{col 40}{space 2} .0000261{col 51}{space 1}    1.12{col 60}{space 3}0.262{col 68}{space 4}-.0000218{col 81}{space 3} .0000804
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4469223{col 40}{space 2} .3251939{col 51}{space 1}    1.37{col 60}{space 3}0.169{col 68}{space 4}-.1904461{col 81}{space 3} 1.084291
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.887009{col 40}{space 2} .2625543{col 51}{space 1}    7.19{col 60}{space 3}0.000{col 68}{space 4} 1.372412{col 81}{space 3} 2.401606
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0326183{col 40}{space 2} .0237326{col 51}{space 1}   -1.37{col 60}{space 3}0.169{col 68}{space 4}-.0791333{col 81}{space 3} .0138966
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .1751261{col 40}{space 2} .4892855{col 51}{space 1}    0.36{col 60}{space 3}0.720{col 68}{space 4}-.7838559{col 81}{space 3} 1.134108
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2}-.1109294{col 40}{space 2} .3226757{col 51}{space 1}   -0.34{col 60}{space 3}0.731{col 68}{space 4}-.7433622{col 81}{space 3} .5215033
{txt}{space 14}humanitarian {c |}{col 28}{res}{space 2} .2578831{col 40}{space 2} .4208705{col 51}{space 1}    0.61{col 60}{space 3}0.540{col 68}{space 4} -.567008{col 81}{space 3} 1.082774
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.352957{col 40}{space 2} 1.518771{col 51}{space 1}   -0.89{col 60}{space 3}0.373{col 68}{space 4}-4.329693{col 81}{space 3} 1.623779
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.011787{col 40}{space 2} .1317764{col 68}{space 4} .7535101{col 81}{space 3} 1.270064
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.750512{col 40}{space 2} .3624524{col 68}{space 4} 2.124444{col 81}{space 3}  3.56108
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_dom_disp hrosecloc_merge air_dom_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion humanitarian, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-28289.423}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15613.781}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15391.682}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15391.371}  
Iteration 4:{space 3}log pseudolikelihood = {res: -15391.37}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1765.0835}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1743.1036}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1741.9046}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1741.8916}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1741.8915}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    339.00
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1741.8915{txt}{col 49}Pseudo R2{col 67}= {res}    0.0363

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2} 1.047274{col 40}{space 2} .3017313{col 51}{space 1}    3.47{col 60}{space 3}0.001{col 68}{space 4} .4558919{col 81}{space 3} 1.638657
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0330102{col 40}{space 2} .0231133{col 51}{space 1}   -1.43{col 60}{space 3}0.153{col 68}{space 4}-.0783114{col 81}{space 3} .0122909
{txt}{space 15}air_dom_HRO {c |}{col 28}{res}{space 2}-1.272637{col 40}{space 2} .2742548{col 51}{space 1}   -4.64{col 60}{space 3}0.000{col 68}{space 4}-1.810167{col 81}{space 3}-.7351078
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0069412{col 40}{space 2} .0201682{col 51}{space 1}   -0.34{col 60}{space 3}0.731{col 68}{space 4}-.0464703{col 81}{space 3} .0325878
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .1095178{col 40}{space 2} .0900381{col 51}{space 1}    1.22{col 60}{space 3}0.224{col 68}{space 4}-.0669536{col 81}{space 3} .2859892
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000315{col 40}{space 2} .0000259{col 51}{space 1}    1.21{col 60}{space 3}0.225{col 68}{space 4}-.0000194{col 81}{space 3} .0000824
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4451344{col 40}{space 2} .3442574{col 51}{space 1}    1.29{col 60}{space 3}0.196{col 68}{space 4}-.2295977{col 81}{space 3} 1.119867
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.793795{col 40}{space 2} .2372105{col 51}{space 1}    7.56{col 60}{space 3}0.000{col 68}{space 4} 1.328871{col 81}{space 3} 2.258719
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .3250916{col 40}{space 2} .3693539{col 51}{space 1}    0.88{col 60}{space 3}0.379{col 68}{space 4}-.3988287{col 81}{space 3} 1.049012
{txt}{space 14}humanitarian {c |}{col 28}{res}{space 2} .0860007{col 40}{space 2} .4061612{col 51}{space 1}    0.21{col 60}{space 3}0.832{col 68}{space 4}-.7100605{col 81}{space 3}  .882062
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.342372{col 40}{space 2} 1.531794{col 51}{space 1}   -0.88{col 60}{space 3}0.381{col 68}{space 4}-4.344633{col 81}{space 3}  1.65989
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.008865{col 40}{space 2} .1340173{col 68}{space 4} .7461959{col 81}{space 3} 1.271534
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.742487{col 40}{space 2} .3675408{col 68}{space 4} 2.108962{col 81}{space 3}  3.56632
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_govt_support hrosecloc_merge air_govt_sup_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion_sup humanitarian, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-17028.804}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15616.082}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15598.532}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15598.493}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15598.493}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1766.187}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1744.6436}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1742.6136}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1742.5982}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1742.5982}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    273.12
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1742.5982{txt}{col 49}Pseudo R2{col 67}= {res}    0.0359

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} .9513462{col 40}{space 2} .3129183{col 51}{space 1}    3.04{col 60}{space 3}0.002{col 68}{space 4} .3380376{col 81}{space 3} 1.564655
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0328113{col 40}{space 2}  .023845{col 51}{space 1}   -1.38{col 60}{space 3}0.169{col 68}{space 4}-.0795467{col 81}{space 3} .0139241
{txt}{space 10}air_govt_sup_HRO {c |}{col 28}{res}{space 2}-1.235442{col 40}{space 2} .2605885{col 51}{space 1}   -4.74{col 60}{space 3}0.000{col 68}{space 4}-1.746186{col 81}{space 3}-.7246985
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2} -.009452{col 40}{space 2} .0210704{col 51}{space 1}   -0.45{col 60}{space 3}0.654{col 68}{space 4}-.0507493{col 81}{space 3} .0318453
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .1068369{col 40}{space 2} .0884978{col 51}{space 1}    1.21{col 60}{space 3}0.227{col 68}{space 4}-.0666156{col 81}{space 3} .2802894
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000297{col 40}{space 2} .0000261{col 51}{space 1}    1.14{col 60}{space 3}0.256{col 68}{space 4}-.0000215{col 81}{space 3} .0000809
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4761972{col 40}{space 2} .3270009{col 51}{space 1}    1.46{col 60}{space 3}0.145{col 68}{space 4}-.1647128{col 81}{space 3} 1.117107
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2}  1.86617{col 40}{space 2} .2449706{col 51}{space 1}    7.62{col 60}{space 3}0.000{col 68}{space 4} 1.386036{col 81}{space 3} 2.346303
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .2345158{col 40}{space 2} .5201411{col 51}{space 1}    0.45{col 60}{space 3}0.652{col 68}{space 4} -.784942{col 81}{space 3} 1.253974
{txt}{space 14}humanitarian {c |}{col 28}{res}{space 2} .1857713{col 40}{space 2}  .471118{col 51}{space 1}    0.39{col 60}{space 3}0.693{col 68}{space 4}-.7376029{col 81}{space 3} 1.109146
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.348619{col 40}{space 2} 1.510649{col 51}{space 1}   -0.89{col 60}{space 3}0.372{col 68}{space 4}-4.309437{col 81}{space 3} 1.612199
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.012269{col 40}{space 2} .1330751{col 68}{space 4} .7514471{col 81}{space 3} 1.273092
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.751839{col 40}{space 2} .3662011{col 68}{space 4} 2.120066{col 81}{space 3} 3.571879
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_oppose_govt hrosecloc_merge air_govt_opp_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level   troop_incursion_opp humanitarian, cluster (cowcode) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-15864.287}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15073.041}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15064.461}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15064.418}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15064.418}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1771.5242}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1749.3199}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1747.8273}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1743.1402}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1742.3303}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1742.2391}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1742.239}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    184.81
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1742.239{txt}{col 49}Pseudo R2{col 67}= {res}    0.0361

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}air_oppose_govt {c |}{col 28}{res}{space 2} .4879257{col 40}{space 2} .3823273{col 51}{space 1}    1.28{col 60}{space 3}0.202{col 68}{space 4} -.261422{col 81}{space 3} 1.237273
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0321487{col 40}{space 2} .0240813{col 51}{space 1}   -1.34{col 60}{space 3}0.182{col 68}{space 4}-.0793473{col 81}{space 3} .0150498
{txt}{space 10}air_govt_opp_HRO {c |}{col 28}{res}{space 2}-1.341837{col 40}{space 2} .4610514{col 51}{space 1}   -2.91{col 60}{space 3}0.004{col 68}{space 4}-2.245481{col 81}{space 3}-.4381927
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0036048{col 40}{space 2} .0204942{col 51}{space 1}   -0.18{col 60}{space 3}0.860{col 68}{space 4}-.0437727{col 81}{space 3}  .036563
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0932298{col 40}{space 2} .0859828{col 51}{space 1}    1.08{col 60}{space 3}0.278{col 68}{space 4}-.0752934{col 81}{space 3} .2617531
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000281{col 40}{space 2} .0000261{col 51}{space 1}    1.08{col 60}{space 3}0.281{col 68}{space 4} -.000023{col 81}{space 3} .0000792
{txt}{space 16}government {c |}{col 28}{res}{space 2} .5172856{col 40}{space 2} .3375766{col 51}{space 1}    1.53{col 60}{space 3}0.125{col 68}{space 4}-.1443523{col 81}{space 3} 1.178924
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.842563{col 40}{space 2} .2495022{col 51}{space 1}    7.38{col 60}{space 3}0.000{col 68}{space 4} 1.353548{col 81}{space 3} 2.331579
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2} -.005548{col 40}{space 2} .2845125{col 51}{space 1}   -0.02{col 60}{space 3}0.984{col 68}{space 4}-.5631822{col 81}{space 3} .5520862
{txt}{space 14}humanitarian {c |}{col 28}{res}{space 2} .4834234{col 40}{space 2} .2469803{col 51}{space 1}    1.96{col 60}{space 3}0.050{col 68}{space 4}-.0006491{col 81}{space 3} .9674959
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.108709{col 40}{space 2}  1.46316{col 51}{space 1}   -0.76{col 60}{space 3}0.449{col 68}{space 4}-3.976449{col 81}{space 3} 1.759031
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} 1.009964{col 40}{space 2} .1345202{col 68}{space 4} .7463097{col 81}{space 3} 1.273619
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.745503{col 40}{space 2} .3693255{col 68}{space 4} 2.109202{col 81}{space 3} 3.573763
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table A4*
. nbreg internal_collateral  internal_collateral_lag air_dom_disp polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion , cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-22707.299}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15600.604}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15556.841}  
Iteration 3:{space 3}log pseudolikelihood = {res: -15556.71}  
Iteration 4:{space 3}log pseudolikelihood = {res: -15556.71}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2075.5703}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1807.2453}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1806.0787}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1806.0775}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1806.0775}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1763.3493}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1739.8856}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1738.4499}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1738.4376}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1738.4376}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       437
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}    243.89
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1738.4376{txt}{col 49}Pseudo R2{col 67}= {res}    0.0375

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}internal_collateral_lag {c |}{col 28}{res}{space 2} .0025735{col 40}{space 2} .0016198{col 51}{space 1}    1.59{col 60}{space 3}0.112{col 68}{space 4}-.0006013{col 81}{space 3} .0057483
{txt}{space 14}air_dom_disp {c |}{col 28}{res}{space 2} .7520163{col 40}{space 2} .2298949{col 51}{space 1}    3.27{col 60}{space 3}0.001{col 68}{space 4} .3014306{col 81}{space 3} 1.202602
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0121447{col 40}{space 2} .0192921{col 51}{space 1}   -0.63{col 60}{space 3}0.529{col 68}{space 4}-.0499564{col 81}{space 3} .0256671
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0971244{col 40}{space 2} .0872224{col 51}{space 1}    1.11{col 60}{space 3}0.265{col 68}{space 4}-.0738283{col 81}{space 3} .2680771
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000284{col 40}{space 2} .0000251{col 51}{space 1}    1.13{col 60}{space 3}0.257{col 68}{space 4}-.0000207{col 81}{space 3} .0000776
{txt}{space 16}government {c |}{col 28}{res}{space 2} .3751086{col 40}{space 2} .3145144{col 51}{space 1}    1.19{col 60}{space 3}0.233{col 68}{space 4}-.2413283{col 81}{space 3} .9915455
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.748634{col 40}{space 2} .2419976{col 51}{space 1}    7.23{col 60}{space 3}0.000{col 68}{space 4} 1.274328{col 81}{space 3} 2.222941
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0283749{col 40}{space 2} .0230577{col 51}{space 1}   -1.23{col 60}{space 3}0.218{col 68}{space 4}-.0735673{col 81}{space 3} .0168174
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .2908163{col 40}{space 2} .2440975{col 51}{space 1}    1.19{col 60}{space 3}0.233{col 68}{space 4}-.1876059{col 81}{space 3} .7692385
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.092745{col 40}{space 2} 1.505355{col 51}{space 1}   -0.73{col 60}{space 3}0.468{col 68}{space 4}-4.043187{col 81}{space 3} 1.857696
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9947256{col 40}{space 2} .1320664{col 68}{space 4} .7358802{col 81}{space 3} 1.253571
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.703982{col 40}{space 2} .3571053{col 68}{space 4} 2.087318{col 81}{space 3}  3.50283
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral internal_collateral_lag air_govt_support air_oppose_govt  polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion_sup troop_incursion_opp, cluster (cowcode) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-19544.053}  
Iteration 1:{space 3}log pseudolikelihood = {res:-16083.638}  
Iteration 2:{space 3}log pseudolikelihood = {res:-16037.803}  
Iteration 3:{space 3}log pseudolikelihood = {res:-16037.524}  
Iteration 4:{space 3}log pseudolikelihood = {res:-16037.524}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2075.5703}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1807.2453}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1806.0787}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1806.0775}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1806.0775}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1764.8799}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1742.3452}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1738.5507}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1738.4712}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1738.471}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1738.471}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       437
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    201.38
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1738.471{txt}{col 49}Pseudo R2{col 67}= {res}    0.0374

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}internal_collateral_lag {c |}{col 28}{res}{space 2} .0030427{col 40}{space 2} .0016841{col 51}{space 1}    1.81{col 60}{space 3}0.071{col 68}{space 4}-.0002581{col 81}{space 3} .0063436
{txt}{space 10}air_govt_support {c |}{col 28}{res}{space 2} .8496372{col 40}{space 2} .4539367{col 51}{space 1}    1.87{col 60}{space 3}0.061{col 68}{space 4}-.0400624{col 81}{space 3} 1.739337
{txt}{space 11}air_oppose_govt {c |}{col 28}{res}{space 2}-.2557601{col 40}{space 2} .5748071{col 51}{space 1}   -0.44{col 60}{space 3}0.656{col 68}{space 4}-1.382361{col 81}{space 3} .8708411
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2} -.017607{col 40}{space 2} .0199742{col 51}{space 1}   -0.88{col 60}{space 3}0.378{col 68}{space 4}-.0567557{col 81}{space 3} .0215417
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0938744{col 40}{space 2} .0866663{col 51}{space 1}    1.08{col 60}{space 3}0.279{col 68}{space 4}-.0759884{col 81}{space 3} .2637371
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000261{col 40}{space 2} .0000251{col 51}{space 1}    1.04{col 60}{space 3}0.298{col 68}{space 4} -.000023{col 81}{space 3} .0000752
{txt}{space 16}government {c |}{col 28}{res}{space 2} .3646418{col 40}{space 2} .2906941{col 51}{space 1}    1.25{col 60}{space 3}0.210{col 68}{space 4}-.2051082{col 81}{space 3} .9343918
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2}  1.83186{col 40}{space 2} .2555601{col 51}{space 1}    7.17{col 60}{space 3}0.000{col 68}{space 4} 1.330971{col 81}{space 3} 2.332748
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0274904{col 40}{space 2} .0235837{col 51}{space 1}   -1.17{col 60}{space 3}0.244{col 68}{space 4}-.0737136{col 81}{space 3} .0187327
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .2819286{col 40}{space 2} .2946039{col 51}{space 1}    0.96{col 60}{space 3}0.339{col 68}{space 4}-.2954845{col 81}{space 3} .8593417
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2}-.0989526{col 40}{space 2} .2995532{col 51}{space 1}   -0.33{col 60}{space 3}0.741{col 68}{space 4}-.6860661{col 81}{space 3} .4881608
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.077546{col 40}{space 2} 1.507121{col 51}{space 1}   -0.71{col 60}{space 3}0.475{col 68}{space 4}-4.031449{col 81}{space 3} 1.876357
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9952347{col 40}{space 2} .1302768{col 68}{space 4}  .739897{col 81}{space 3} 1.250573
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.705359{col 40}{space 2} .3524455{col 68}{space 4}  2.09572{col 81}{space 3} 3.492342
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral internal_collateral_lag air_dom_disp hrosecloc_merge air_dom_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-29431.406}  
Iteration 1:{space 3}log pseudolikelihood = {res:-18547.439}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15586.478}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15537.596}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15537.429}  
Iteration 5:{space 3}log pseudolikelihood = {res:-15537.429}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2075.5703}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1807.2453}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1806.0787}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1806.0775}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1806.0775}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1763.2719}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1739.7707}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1738.3279}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1738.3155}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1738.3155}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       437
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    410.70
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1738.3155{txt}{col 49}Pseudo R2{col 67}= {res}    0.0375

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}internal_collateral_lag {c |}{col 28}{res}{space 2} .0025401{col 40}{space 2} .0016389{col 51}{space 1}    1.55{col 60}{space 3}0.121{col 68}{space 4}-.0006721{col 81}{space 3} .0057522
{txt}{space 14}air_dom_disp {c |}{col 28}{res}{space 2} .8024046{col 40}{space 2}  .233585{col 51}{space 1}    3.44{col 60}{space 3}0.001{col 68}{space 4} .3445864{col 81}{space 3} 1.260223
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0285862{col 40}{space 2} .0230411{col 51}{space 1}   -1.24{col 60}{space 3}0.215{col 68}{space 4} -.073746{col 81}{space 3} .0165736
{txt}{space 15}air_dom_HRO {c |}{col 28}{res}{space 2} -.972449{col 40}{space 2} .2820786{col 51}{space 1}   -3.45{col 60}{space 3}0.001{col 68}{space 4}-1.525313{col 81}{space 3}-.4195851
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0122772{col 40}{space 2} .0193171{col 51}{space 1}   -0.64{col 60}{space 3}0.525{col 68}{space 4} -.050138{col 81}{space 3} .0255836
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0993507{col 40}{space 2} .0875641{col 51}{space 1}    1.13{col 60}{space 3}0.257{col 68}{space 4}-.0722719{col 81}{space 3} .2709732
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000287{col 40}{space 2} .0000251{col 51}{space 1}    1.14{col 60}{space 3}0.253{col 68}{space 4}-.0000205{col 81}{space 3} .0000779
{txt}{space 16}government {c |}{col 28}{res}{space 2} .3780773{col 40}{space 2} .3150557{col 51}{space 1}    1.20{col 60}{space 3}0.230{col 68}{space 4}-.2394206{col 81}{space 3} .9955752
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.744155{col 40}{space 2} .2418359{col 51}{space 1}    7.21{col 60}{space 3}0.000{col 68}{space 4} 1.270166{col 81}{space 3} 2.218145
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2}   .29322{col 40}{space 2} .2448812{col 51}{space 1}    1.20{col 60}{space 3}0.231{col 68}{space 4}-.1867383{col 81}{space 3} .7731783
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} -1.12657{col 40}{space 2} 1.510046{col 51}{space 1}   -0.75{col 60}{space 3}0.456{col 68}{space 4}-4.086206{col 81}{space 3} 1.833066
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9941567{col 40}{space 2}  .132266{col 68}{space 4} .7349201{col 81}{space 3} 1.253393
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.702444{col 40}{space 2} .3574415{col 68}{space 4} 2.085315{col 81}{space 3} 3.502207
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral internal_collateral_lag air_govt_support hrosecloc_merge air_govt_sup_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion_sup, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-18785.631}  
Iteration 1:{space 3}log pseudolikelihood = {res:-16197.102}  
Iteration 2:{space 3}log pseudolikelihood = {res: -16165.13}  
Iteration 3:{space 3}log pseudolikelihood = {res:-16165.066}  
Iteration 4:{space 3}log pseudolikelihood = {res:-16165.066}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2075.5703}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1807.2453}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1806.0787}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1806.0775}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1806.0775}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1764.1679}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1740.6117}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1738.6659}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1738.6536}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1738.6536}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       437
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    281.03
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1738.6536{txt}{col 49}Pseudo R2{col 67}= {res}    0.0373

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}internal_collateral_lag {c |}{col 28}{res}{space 2} .0028853{col 40}{space 2} .0017222{col 51}{space 1}    1.68{col 60}{space 3}0.094{col 68}{space 4}-.0004902{col 81}{space 3} .0062608
{txt}{space 10}air_govt_support {c |}{col 28}{res}{space 2} .7277534{col 40}{space 2} .2693004{col 51}{space 1}    2.70{col 60}{space 3}0.007{col 68}{space 4} .1999342{col 81}{space 3} 1.255573
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0278197{col 40}{space 2} .0237793{col 51}{space 1}   -1.17{col 60}{space 3}0.242{col 68}{space 4}-.0744263{col 81}{space 3}  .018787
{txt}{space 10}air_govt_sup_HRO {c |}{col 28}{res}{space 2}-.9396222{col 40}{space 2} .2681442{col 51}{space 1}   -3.50{col 60}{space 3}0.000{col 68}{space 4}-1.465175{col 81}{space 3}-.4140692
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0150725{col 40}{space 2} .0202406{col 51}{space 1}   -0.74{col 60}{space 3}0.456{col 68}{space 4}-.0547434{col 81}{space 3} .0245984
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0942977{col 40}{space 2} .0862154{col 51}{space 1}    1.09{col 60}{space 3}0.274{col 68}{space 4}-.0746814{col 81}{space 3} .2632768
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000265{col 40}{space 2} .0000253{col 51}{space 1}    1.05{col 60}{space 3}0.294{col 68}{space 4} -.000023{col 81}{space 3}  .000076
{txt}{space 16}government {c |}{col 28}{res}{space 2} .3974233{col 40}{space 2} .2962579{col 51}{space 1}    1.34{col 60}{space 3}0.180{col 68}{space 4}-.1832316{col 81}{space 3} .9780782
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.812036{col 40}{space 2} .2408602{col 51}{space 1}    7.52{col 60}{space 3}0.000{col 68}{space 4} 1.339958{col 81}{space 3} 2.284113
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .2838348{col 40}{space 2} .2923982{col 51}{space 1}    0.97{col 60}{space 3}0.332{col 68}{space 4}-.2892551{col 81}{space 3} .8569247
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} -1.09239{col 40}{space 2} 1.504089{col 51}{space 1}   -0.73{col 60}{space 3}0.468{col 68}{space 4}-4.040351{col 81}{space 3} 1.855571
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9959729{col 40}{space 2} .1313504{col 68}{space 4} .7385309{col 81}{space 3} 1.253415
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.707357{col 40}{space 2} .3556125{col 68}{space 4} 2.092859{col 81}{space 3} 3.502283
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral internal_collateral_lag air_oppose_govt hrosecloc_merge air_govt_opp_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level   troop_incursion_opp, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-18785.702}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15705.568}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15648.318}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15647.824}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15647.823}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2075.5703}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1807.2453}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1806.0787}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1806.0775}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1806.0775}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1771.2471}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1746.9447}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1743.0035}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1739.0195}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1738.6461}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1738.6385}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1738.6385}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       437
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    237.38
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1738.6385{txt}{col 49}Pseudo R2{col 67}= {res}    0.0373

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}internal_collateral_lag {c |}{col 28}{res}{space 2} .0034475{col 40}{space 2}  .001599{col 51}{space 1}    2.16{col 60}{space 3}0.031{col 68}{space 4} .0003134{col 81}{space 3} .0065815
{txt}{space 11}air_oppose_govt {c |}{col 28}{res}{space 2} .4691725{col 40}{space 2} .3725531{col 51}{space 1}    1.26{col 60}{space 3}0.208{col 68}{space 4}-.2610182{col 81}{space 3} 1.199363
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2}-.0242226{col 40}{space 2} .0239563{col 51}{space 1}   -1.01{col 60}{space 3}0.312{col 68}{space 4} -.071176{col 81}{space 3} .0227309
{txt}{space 10}air_govt_opp_HRO {c |}{col 28}{res}{space 2} -1.31628{col 40}{space 2} .3958326{col 51}{space 1}   -3.33{col 60}{space 3}0.001{col 68}{space 4}-2.092097{col 81}{space 3}-.5404623
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0100762{col 40}{space 2}  .019918{col 51}{space 1}   -0.51{col 60}{space 3}0.613{col 68}{space 4}-.0491148{col 81}{space 3} .0289625
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0538065{col 40}{space 2} .0794002{col 51}{space 1}    0.68{col 60}{space 3}0.498{col 68}{space 4} -.101815{col 81}{space 3}  .209428
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000206{col 40}{space 2} .0000254{col 51}{space 1}    0.81{col 60}{space 3}0.417{col 68}{space 4}-.0000292{col 81}{space 3} .0000704
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4386994{col 40}{space 2} .3034882{col 51}{space 1}    1.45{col 60}{space 3}0.148{col 68}{space 4}-.1561266{col 81}{space 3} 1.033525
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.777071{col 40}{space 2} .2442726{col 51}{space 1}    7.27{col 60}{space 3}0.000{col 68}{space 4} 1.298305{col 81}{space 3} 2.255836
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2} .0208655{col 40}{space 2} .2654062{col 51}{space 1}    0.08{col 60}{space 3}0.937{col 68}{space 4}-.4993211{col 81}{space 3} .5410522
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} -.339476{col 40}{space 2} 1.406662{col 51}{space 1}   -0.24{col 60}{space 3}0.809{col 68}{space 4}-3.096484{col 81}{space 3} 2.417532
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9955603{col 40}{space 2} .1314831{col 68}{space 4} .7378582{col 81}{space 3} 1.253262
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2}  2.70624{col 40}{space 2} .3558248{col 68}{space 4} 2.091451{col 81}{space 3} 3.501748
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table A5*
. 
. nbreg internal_collateral  air_dom_disp polity2 ln_population GDPpercapitaconstant2005US government intensity_level HRO_dummy troop_incursion , cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -20662.14}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15552.127}  
Iteration 2:{space 3}log pseudolikelihood = {res: -15545.01}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15545.009}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15545.009}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1763.7759}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1740.4402}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1739.2781}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1739.2706}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1739.2706}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}    204.78
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1739.2706{txt}{col 49}Pseudo R2{col 67}= {res}    0.0377

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2} 1.222302{col 40}{space 2} .2703933{col 51}{space 1}    4.52{col 60}{space 3}0.000{col 68}{space 4} .6923411{col 81}{space 3} 1.752263
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0140829{col 40}{space 2} .0226111{col 51}{space 1}   -0.62{col 60}{space 3}0.533{col 68}{space 4}-.0583998{col 81}{space 3}  .030234
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0062621{col 40}{space 2} .0806169{col 51}{space 1}    0.08{col 60}{space 3}0.938{col 68}{space 4}-.1517442{col 81}{space 3} .1642683
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2}-4.42e-06{col 40}{space 2} .0000284{col 51}{space 1}   -0.16{col 60}{space 3}0.876{col 68}{space 4}  -.00006{col 81}{space 3} .0000512
{txt}{space 16}government {c |}{col 28}{res}{space 2}  .292992{col 40}{space 2} .3431789{col 51}{space 1}    0.85{col 60}{space 3}0.393{col 68}{space 4}-.3796262{col 81}{space 3} .9656102
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.732608{col 40}{space 2} .2291273{col 51}{space 1}    7.56{col 60}{space 3}0.000{col 68}{space 4} 1.283526{col 81}{space 3} 2.181689
{txt}{space 17}HRO_dummy {c |}{col 28}{res}{space 2} .5325562{col 40}{space 2} .2833542{col 51}{space 1}    1.88{col 60}{space 3}0.060{col 68}{space 4}-.0228077{col 81}{space 3}  1.08792
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2}  .353773{col 40}{space 2} .2202658{col 51}{space 1}    1.61{col 60}{space 3}0.108{col 68}{space 4}  -.07794{col 81}{space 3}  .785486
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3413888{col 40}{space 2} 1.485393{col 51}{space 1}    0.23{col 60}{space 3}0.818{col 68}{space 4}-2.569929{col 81}{space 3} 3.252706
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9968496{col 40}{space 2} .1340668{col 68}{space 4} .7340835{col 81}{space 3} 1.259616
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.709732{col 40}{space 2}  .363285{col 68}{space 4} 2.083571{col 81}{space 3} 3.524067
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_govt_support air_oppose_govt  polity2 ln_population GDPpercapitaconstant2005US government intensity_level HRO_dummy  troop_incursion_sup troop_incursion_opp, cluster (cowcode) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-17656.342}  
Iteration 1:{space 3}log pseudolikelihood = {res: -16082.59}  
Iteration 2:{space 3}log pseudolikelihood = {res:-16060.684}  
Iteration 3:{space 3}log pseudolikelihood = {res:-16060.668}  
Iteration 4:{space 3}log pseudolikelihood = {res:-16060.668}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1764.8994}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1741.8786}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1739.5705}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1739.5449}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1739.5449}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    167.76
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1739.5449{txt}{col 49}Pseudo R2{col 67}= {res}    0.0376

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} 1.102435{col 40}{space 2} .5188351{col 51}{space 1}    2.12{col 60}{space 3}0.034{col 68}{space 4} .0855366{col 81}{space 3} 2.119333
{txt}{space 11}air_oppose_govt {c |}{col 28}{res}{space 2}-.0816071{col 40}{space 2} .6352095{col 51}{space 1}   -0.13{col 60}{space 3}0.898{col 68}{space 4}-1.326595{col 81}{space 3} 1.163381
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0183612{col 40}{space 2} .0225535{col 51}{space 1}   -0.81{col 60}{space 3}0.416{col 68}{space 4}-.0625653{col 81}{space 3} .0258429
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0018157{col 40}{space 2}  .078162{col 51}{space 1}    0.02{col 60}{space 3}0.981{col 68}{space 4}-.1513791{col 81}{space 3} .1550104
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2}-7.12e-06{col 40}{space 2} .0000281{col 51}{space 1}   -0.25{col 60}{space 3}0.800{col 68}{space 4}-.0000622{col 81}{space 3}  .000048
{txt}{space 16}government {c |}{col 28}{res}{space 2} .2942987{col 40}{space 2} .3167114{col 51}{space 1}    0.93{col 60}{space 3}0.353{col 68}{space 4}-.3264442{col 81}{space 3} .9150417
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.845857{col 40}{space 2} .2429101{col 51}{space 1}    7.60{col 60}{space 3}0.000{col 68}{space 4} 1.369762{col 81}{space 3} 2.321952
{txt}{space 17}HRO_dummy {c |}{col 28}{res}{space 2} .5622923{col 40}{space 2} .2914716{col 51}{space 1}    1.93{col 60}{space 3}0.054{col 68}{space 4}-.0089816{col 81}{space 3} 1.133566
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .4354617{col 40}{space 2} .2521896{col 51}{space 1}    1.73{col 60}{space 3}0.084{col 68}{space 4}-.0588209{col 81}{space 3} .9297442
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2} .0006654{col 40}{space 2} .3462445{col 51}{space 1}    0.00{col 60}{space 3}0.998{col 68}{space 4}-.6779613{col 81}{space 3} .6792921
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3254247{col 40}{space 2} 1.456805{col 51}{space 1}    0.22{col 60}{space 3}0.823{col 68}{space 4} -2.52986{col 81}{space 3} 3.180709
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9984648{col 40}{space 2} .1315059{col 68}{space 4} .7407179{col 81}{space 3} 1.256212
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.714112{col 40}{space 2} .3569218{col 68}{space 4} 2.097441{col 81}{space 3} 3.512091
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_dom_disp HRO_dummy air_dom_HROdum polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-27951.763}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15710.625}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15518.398}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15518.109}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15518.109}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1763.5973}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1740.181}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1738.9765}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1738.9683}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1738.9683}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(8)}{col 67}=          {res}.
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1738.9683{txt}{col 49}Pseudo R2{col 67}= {res}    0.0379

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2} 1.289084{col 40}{space 2} .2842543{col 51}{space 1}    4.53{col 60}{space 3}0.000{col 68}{space 4} .7319554{col 81}{space 3} 1.846212
{txt}{space 17}HRO_dummy {c |}{col 28}{res}{space 2} .5415965{col 40}{space 2} .2829622{col 51}{space 1}    1.91{col 60}{space 3}0.056{col 68}{space 4}-.0129992{col 81}{space 3} 1.096192
{txt}{space 12}air_dom_HROdum {c |}{col 28}{res}{space 2}-1.667181{col 40}{space 2} .3826784{col 51}{space 1}   -4.36{col 60}{space 3}0.000{col 68}{space 4}-2.417216{col 81}{space 3}-.9171448
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0144582{col 40}{space 2} .0226589{col 51}{space 1}   -0.64{col 60}{space 3}0.523{col 68}{space 4}-.0588689{col 81}{space 3} .0299525
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0077359{col 40}{space 2} .0805826{col 51}{space 1}    0.10{col 60}{space 3}0.924{col 68}{space 4}-.1502031{col 81}{space 3}  .165675
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2}-4.49e-06{col 40}{space 2} .0000283{col 51}{space 1}   -0.16{col 60}{space 3}0.874{col 68}{space 4}  -.00006{col 81}{space 3}  .000051
{txt}{space 16}government {c |}{col 28}{res}{space 2} .2956607{col 40}{space 2} .3434108{col 51}{space 1}    0.86{col 60}{space 3}0.389{col 68}{space 4}-.3774121{col 81}{space 3} .9687336
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.724415{col 40}{space 2} .2283136{col 51}{space 1}    7.55{col 60}{space 3}0.000{col 68}{space 4} 1.276929{col 81}{space 3} 2.171902
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .3556859{col 40}{space 2} .2206774{col 51}{space 1}    1.61{col 60}{space 3}0.107{col 68}{space 4}-.0768338{col 81}{space 3} .7882056
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3203004{col 40}{space 2} 1.485607{col 51}{space 1}    0.22{col 60}{space 3}0.829{col 68}{space 4}-2.591436{col 81}{space 3} 3.232037
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9954469{col 40}{space 2} .1344729{col 68}{space 4} .7318848{col 81}{space 3} 1.259009
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.705933{col 40}{space 2} .3638747{col 68}{space 4} 2.078995{col 81}{space 3} 3.521929
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_govt_support HRO_dummy air_govt_sup_HROdum polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion_sup, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-17661.154}  
Iteration 1:{space 3}log pseudolikelihood = {res:-16194.511}  
Iteration 2:{space 3}log pseudolikelihood = {res:-16176.116}  
Iteration 3:{space 3}log pseudolikelihood = {res:-16176.072}  
Iteration 4:{space 3}log pseudolikelihood = {res:-16176.072}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1764.4405}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1740.8409}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1739.2795}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1739.2694}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1739.2694}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(8)}{col 67}=          {res}.
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1739.2694{txt}{col 49}Pseudo R2{col 67}= {res}    0.0377

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} 1.119245{col 40}{space 2}  .349377{col 51}{space 1}    3.20{col 60}{space 3}0.001{col 68}{space 4} .4344785{col 81}{space 3} 1.804011
{txt}{space 17}HRO_dummy {c |}{col 28}{res}{space 2} .5748164{col 40}{space 2} .2821288{col 51}{space 1}    2.04{col 60}{space 3}0.042{col 68}{space 4} .0218542{col 81}{space 3} 1.127779
{txt}{space 7}air_govt_sup_HROdum {c |}{col 28}{res}{space 2}-1.631655{col 40}{space 2}  .363603{col 51}{space 1}   -4.49{col 60}{space 3}0.000{col 68}{space 4}-2.344304{col 81}{space 3}-.9190065
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0181129{col 40}{space 2} .0230924{col 51}{space 1}   -0.78{col 60}{space 3}0.433{col 68}{space 4}-.0633733{col 81}{space 3} .0271474
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2} .0027491{col 40}{space 2} .0783067{col 51}{space 1}    0.04{col 60}{space 3}0.972{col 68}{space 4}-.1507293{col 81}{space 3} .1562275
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2}-7.28e-06{col 40}{space 2}  .000028{col 51}{space 1}   -0.26{col 60}{space 3}0.795{col 68}{space 4}-.0000622{col 81}{space 3} .0000477
{txt}{space 16}government {c |}{col 28}{res}{space 2} .3037126{col 40}{space 2} .3205967{col 51}{space 1}    0.95{col 60}{space 3}0.343{col 68}{space 4}-.3246453{col 81}{space 3} .9320706
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.835336{col 40}{space 2}  .221398{col 51}{space 1}    8.29{col 60}{space 3}0.000{col 68}{space 4} 1.401404{col 81}{space 3} 2.269268
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .4395811{col 40}{space 2} .2506555{col 51}{space 1}    1.75{col 60}{space 3}0.079{col 68}{space 4}-.0516946{col 81}{space 3} .9308568
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3074241{col 40}{space 2}  1.46205{col 51}{space 1}    0.21{col 60}{space 3}0.833{col 68}{space 4}-2.558142{col 81}{space 3}  3.17299
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9971819{col 40}{space 2} .1321152{col 68}{space 4} .7382408{col 81}{space 3} 1.256123
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.710632{col 40}{space 2} .3581158{col 68}{space 4} 2.092252{col 81}{space 3}  3.51178
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_oppose_govt HRO_dummy air_govt_opp_HROdum polity2 ln_population GDPpercapitaconstant2005US government intensity_level   troop_incursion_opp, cluster (cowcode) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-17936.501}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15697.878}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15676.562}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15676.546}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15676.546}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2079.3304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1808.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1807.4598}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1807.4585}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1807.4585}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1763.7534}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1740.211}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1739.1614}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1739.1553}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1739.1553}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       438
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}    259.88
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1739.1553{txt}{col 49}Pseudo R2{col 67}= {res}    0.0378

{txt}{ralign 92:(Std. Err. adjusted for {res:63} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}air_oppose_govt {c |}{col 28}{res}{space 2} 1.167341{col 40}{space 2} .4106364{col 51}{space 1}    2.84{col 60}{space 3}0.004{col 68}{space 4} .3625086{col 81}{space 3} 1.972174
{txt}{space 17}HRO_dummy {c |}{col 28}{res}{space 2} .5850597{col 40}{space 2} .2882789{col 51}{space 1}    2.03{col 60}{space 3}0.042{col 68}{space 4} .0200435{col 81}{space 3} 1.150076
{txt}{space 7}air_govt_opp_HROdum {c |}{col 28}{res}{space 2}-3.320188{col 40}{space 2} .7932408{col 51}{space 1}   -4.19{col 60}{space 3}0.000{col 68}{space 4}-4.874912{col 81}{space 3}-1.765465
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0073782{col 40}{space 2} .0222444{col 51}{space 1}   -0.33{col 60}{space 3}0.740{col 68}{space 4}-.0509764{col 81}{space 3}   .03622
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2}-.0481681{col 40}{space 2} .0724264{col 51}{space 1}   -0.67{col 60}{space 3}0.506{col 68}{space 4}-.1901212{col 81}{space 3}  .093785
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2}-.0000136{col 40}{space 2} .0000256{col 51}{space 1}   -0.53{col 60}{space 3}0.596{col 68}{space 4}-.0000638{col 81}{space 3} .0000366
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4410991{col 40}{space 2} .3243814{col 51}{space 1}    1.36{col 60}{space 3}0.174{col 68}{space 4}-.1946768{col 81}{space 3} 1.076875
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.767826{col 40}{space 2}  .226139{col 51}{space 1}    7.82{col 60}{space 3}0.000{col 68}{space 4} 1.324602{col 81}{space 3} 2.211051
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2} .1680375{col 40}{space 2} .3174042{col 51}{space 1}    0.53{col 60}{space 3}0.597{col 68}{space 4}-.4540634{col 81}{space 3} .7901383
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 1.249804{col 40}{space 2} 1.371206{col 51}{space 1}    0.91{col 60}{space 3}0.362{col 68}{space 4} -1.43771{col 81}{space 3} 3.937318
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9965453{col 40}{space 2} .1331045{col 68}{space 4} .7356653{col 81}{space 3} 1.257425
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.708907{col 40}{space 2} .3605678{col 68}{space 4}  2.08687{col 81}{space 3} 3.516357
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table A6*
. nbreg internal_collateral  air_dom_disp polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion if cowcode~=2, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-20133.161}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15394.574}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15385.486}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15385.478}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15385.478}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2054.1927}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1794.8419}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1793.8221}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1793.8212}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1793.8212}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1750.047}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1726.144}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1723.8688}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1723.8534}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1723.8534}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       432
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}    236.37
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1723.8534{txt}{col 49}Pseudo R2{col 67}= {res}    0.0390

{txt}{ralign 92:(Std. Err. adjusted for {res:62} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2} 1.121269{col 40}{space 2} .2389207{col 51}{space 1}    4.69{col 60}{space 3}0.000{col 68}{space 4} .6529932{col 81}{space 3} 1.589545
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0265679{col 40}{space 2} .0237706{col 51}{space 1}   -1.12{col 60}{space 3}0.264{col 68}{space 4}-.0731575{col 81}{space 3} .0200217
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2}-.0286255{col 40}{space 2} .0992081{col 51}{space 1}   -0.29{col 60}{space 3}0.773{col 68}{space 4}-.2230699{col 81}{space 3} .1658189
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000253{col 40}{space 2} .0000273{col 51}{space 1}    0.93{col 60}{space 3}0.353{col 68}{space 4}-.0000281{col 81}{space 3} .0000788
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4363147{col 40}{space 2} .3071212{col 51}{space 1}    1.42{col 60}{space 3}0.155{col 68}{space 4}-.1656317{col 81}{space 3} 1.038261
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.792347{col 40}{space 2}  .222069{col 51}{space 1}    8.07{col 60}{space 3}0.000{col 68}{space 4}   1.3571{col 81}{space 3} 2.227594
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2} .1724851{col 40}{space 2} .1284863{col 51}{space 1}    1.34{col 60}{space 3}0.179{col 68}{space 4}-.0793433{col 81}{space 3} .4243136
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .3993728{col 40}{space 2}  .216234{col 51}{space 1}    1.85{col 60}{space 3}0.065{col 68}{space 4} -.024438{col 81}{space 3} .8231837
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .7352117{col 40}{space 2} 1.762917{col 51}{space 1}    0.42{col 60}{space 3}0.677{col 68}{space 4}-2.720042{col 81}{space 3} 4.190465
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9661644{col 40}{space 2} .1362764{col 68}{space 4} .6990676{col 81}{space 3} 1.233261
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.627846{col 40}{space 2} .3581134{col 68}{space 4} 2.011876{col 81}{space 3} 3.432405
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_govt_support air_oppose_govt  polity2 ln_population GDPpercapitaconstant2005US government intensity_level hrosecloc_merge  troop_incursion_sup troop_incursion_opp if cowcode~=2, cluster (cowcode) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -17296.25}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15866.995}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15846.238}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15846.182}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15846.182}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2054.1927}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1794.8419}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1793.8221}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1793.8212}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1793.8212}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1751.3097}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1729.082}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1724.6277}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1724.5442}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1724.544}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1724.544}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       432
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    169.67
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1724.544{txt}{col 49}Pseudo R2{col 67}= {res}    0.0386

{txt}{ralign 92:(Std. Err. adjusted for {res:62} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} 1.047183{col 40}{space 2} .5264482{col 51}{space 1}    1.99{col 60}{space 3}0.047{col 68}{space 4} .0153636{col 81}{space 3} 2.079003
{txt}{space 11}air_oppose_govt {c |}{col 28}{res}{space 2}-.0710615{col 40}{space 2}   .62765{col 51}{space 1}   -0.11{col 60}{space 3}0.910{col 68}{space 4}-1.301233{col 81}{space 3}  1.15911
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0325535{col 40}{space 2} .0242898{col 51}{space 1}   -1.34{col 60}{space 3}0.180{col 68}{space 4}-.0801606{col 81}{space 3} .0150536
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2}-.0341512{col 40}{space 2} .0981829{col 51}{space 1}   -0.35{col 60}{space 3}0.728{col 68}{space 4}-.2265861{col 81}{space 3} .1582837
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000223{col 40}{space 2} .0000272{col 51}{space 1}    0.82{col 60}{space 3}0.412{col 68}{space 4} -.000031{col 81}{space 3} .0000756
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4366079{col 40}{space 2} .2765302{col 51}{space 1}    1.58{col 60}{space 3}0.114{col 68}{space 4}-.1053814{col 81}{space 3} .9785971
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.909829{col 40}{space 2} .2365701{col 51}{space 1}    8.07{col 60}{space 3}0.000{col 68}{space 4} 1.446161{col 81}{space 3} 2.373498
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2} .1753537{col 40}{space 2} .1286927{col 51}{space 1}    1.36{col 60}{space 3}0.173{col 68}{space 4}-.0768794{col 81}{space 3} .4275868
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .4631607{col 40}{space 2} .2562581{col 51}{space 1}    1.81{col 60}{space 3}0.071{col 68}{space 4}-.0390958{col 81}{space 3} .9654173
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2}-.1186795{col 40}{space 2} .3255277{col 51}{space 1}   -0.36{col 60}{space 3}0.715{col 68}{space 4}-.7567021{col 81}{space 3}  .519343
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .7651464{col 40}{space 2} 1.753599{col 51}{space 1}    0.44{col 60}{space 3}0.663{col 68}{space 4}-2.671844{col 81}{space 3} 4.202137
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2}  .969746{col 40}{space 2} .1347651{col 68}{space 4} .7056114{col 81}{space 3} 1.233881
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.637275{col 40}{space 2} .3554125{col 68}{space 4} 2.025084{col 81}{space 3} 3.434532
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_dom_disp hrosecloc_merge air_dom_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion if cowcode~=2, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-26607.816}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15514.985}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15366.877}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15366.608}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15366.608}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2054.1927}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1794.8419}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1793.8221}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1793.8212}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1793.8212}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1749.9525}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1725.9949}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1723.6829}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1723.6673}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1723.6673}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       432
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(8)}{col 67}=          {res}.
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1723.6673{txt}{col 49}Pseudo R2{col 67}= {res}    0.0391

{txt}{ralign 92:(Std. Err. adjusted for {res:62} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}air_dom_disp {c |}{col 28}{res}{space 2} 1.176328{col 40}{space 2} .2535808{col 51}{space 1}    4.64{col 60}{space 3}0.000{col 68}{space 4} .6793191{col 81}{space 3} 1.673338
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2} .1721419{col 40}{space 2} .1287094{col 51}{space 1}    1.34{col 60}{space 3}0.181{col 68}{space 4}-.0801238{col 81}{space 3} .4244077
{txt}{space 15}air_dom_HRO {c |}{col 28}{res}{space 2}-1.219669{col 40}{space 2}  .247955{col 51}{space 1}   -4.92{col 60}{space 3}0.000{col 68}{space 4}-1.705652{col 81}{space 3} -.733686
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0267088{col 40}{space 2} .0237866{col 51}{space 1}   -1.12{col 60}{space 3}0.262{col 68}{space 4}-.0733296{col 81}{space 3}  .019912
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2}-.0261311{col 40}{space 2} .0995742{col 51}{space 1}   -0.26{col 60}{space 3}0.793{col 68}{space 4} -.221293{col 81}{space 3} .1690307
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000256{col 40}{space 2} .0000273{col 51}{space 1}    0.94{col 60}{space 3}0.349{col 68}{space 4}-.0000279{col 81}{space 3} .0000791
{txt}{space 16}government {c |}{col 28}{res}{space 2} .4399377{col 40}{space 2} .3078163{col 51}{space 1}    1.43{col 60}{space 3}0.153{col 68}{space 4}-.1633711{col 81}{space 3} 1.043246
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.786072{col 40}{space 2} .2217035{col 51}{space 1}    8.06{col 60}{space 3}0.000{col 68}{space 4} 1.351541{col 81}{space 3} 2.220603
{txt}{space 11}troop_incursion {c |}{col 28}{res}{space 2} .4008269{col 40}{space 2}  .216665{col 51}{space 1}    1.85{col 60}{space 3}0.064{col 68}{space 4}-.0238287{col 81}{space 3} .8254825
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .6980161{col 40}{space 2} 1.767725{col 51}{space 1}    0.39{col 60}{space 3}0.693{col 68}{space 4}-2.766661{col 81}{space 3} 4.162693
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2}  .965294{col 40}{space 2} .1365215{col 68}{space 4} .6977167{col 81}{space 3} 1.232871
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.625559{col 40}{space 2} .3584454{col 68}{space 4}  2.00916{col 81}{space 3} 3.431067
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_govt_support hrosecloc_merge air_govt_sup_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level  troop_incursion_sup if cowcode~=2, cluster (cowcode)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-17359.575}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15999.985}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15983.668}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15983.633}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15983.633}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2054.1927}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1794.8419}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1793.8221}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1793.8212}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1793.8212}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1750.8957}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1727.6073}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1724.5104}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1724.4877}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1724.4877}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       432
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(8)}{col 67}=          {res}.
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1724.4877{txt}{col 49}Pseudo R2{col 67}= {res}    0.0387

{txt}{ralign 92:(Std. Err. adjusted for {res:62} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}air_govt_support {c |}{col 28}{res}{space 2} .9961533{col 40}{space 2} .3035409{col 51}{space 1}    3.28{col 60}{space 3}0.001{col 68}{space 4} .4012241{col 81}{space 3} 1.591083
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2} .1757649{col 40}{space 2}   .12938{col 51}{space 1}    1.36{col 60}{space 3}0.174{col 68}{space 4}-.0778153{col 81}{space 3} .4293451
{txt}{space 10}air_govt_sup_HRO {c |}{col 28}{res}{space 2}-1.147294{col 40}{space 2} .2238251{col 51}{space 1}   -5.13{col 60}{space 3}0.000{col 68}{space 4}-1.585983{col 81}{space 3}-.7086047
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0317718{col 40}{space 2} .0245592{col 51}{space 1}   -1.29{col 60}{space 3}0.196{col 68}{space 4}-.0799069{col 81}{space 3} .0163633
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2}-.0328733{col 40}{space 2} .0979282{col 51}{space 1}   -0.34{col 60}{space 3}0.737{col 68}{space 4} -.224809{col 81}{space 3} .1590624
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000228{col 40}{space 2} .0000272{col 51}{space 1}    0.84{col 60}{space 3}0.402{col 68}{space 4}-.0000306{col 81}{space 3} .0000762
{txt}{space 16}government {c |}{col 28}{res}{space 2}  .454774{col 40}{space 2} .2872188{col 51}{space 1}    1.58{col 60}{space 3}0.113{col 68}{space 4}-.1081645{col 81}{space 3} 1.017713
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.887518{col 40}{space 2} .2166066{col 51}{space 1}    8.71{col 60}{space 3}0.000{col 68}{space 4} 1.462977{col 81}{space 3} 2.312059
{txt}{space 7}troop_incursion_sup {c |}{col 28}{res}{space 2} .4583392{col 40}{space 2} .2537976{col 51}{space 1}    1.81{col 60}{space 3}0.071{col 68}{space 4} -.039095{col 81}{space 3} .9557734
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}  .748391{col 40}{space 2} 1.751198{col 51}{space 1}    0.43{col 60}{space 3}0.669{col 68}{space 4}-2.683894{col 81}{space 3} 4.180676
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9694057{col 40}{space 2} .1355528{col 68}{space 4}  .703727{col 81}{space 3} 1.235084
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.636377{col 40}{space 2} .3573684{col 68}{space 4} 2.021272{col 81}{space 3} 3.438668
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg internal_collateral  air_oppose_govt hrosecloc_merge air_govt_opp_HRO polity2 ln_population GDPpercapitaconstant2005US government intensity_level   troop_incursion_opp if cowcode~=2, cluster (cowcode) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-16055.831}  
Iteration 1:{space 3}log pseudolikelihood = {res:-15463.174}  
Iteration 2:{space 3}log pseudolikelihood = {res:-15456.678}  
Iteration 3:{space 3}log pseudolikelihood = {res:-15456.638}  
Iteration 4:{space 3}log pseudolikelihood = {res:-15456.638}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2054.1927}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1794.8419}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1793.8221}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1793.8212}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1793.8212}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1757.4304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1732.8126}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1728.011}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1726.5117}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1726.4783}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1726.4783}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       432
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}    198.37
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1726.4783{txt}{col 49}Pseudo R2{col 67}= {res}    0.0375

{txt}{ralign 92:(Std. Err. adjusted for {res:62} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       internal_collateral{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}air_oppose_govt {c |}{col 28}{res}{space 2} .9340832{col 40}{space 2} .3558327{col 51}{space 1}    2.63{col 60}{space 3}0.009{col 68}{space 4} .2366639{col 81}{space 3} 1.631502
{txt}{space 11}hrosecloc_merge {c |}{col 28}{res}{space 2} .1726282{col 40}{space 2} .1326531{col 51}{space 1}    1.30{col 60}{space 3}0.193{col 68}{space 4} -.087367{col 81}{space 3} .4326234
{txt}{space 10}air_govt_opp_HRO {c |}{col 28}{res}{space 2}-1.597885{col 40}{space 2} .4292716{col 51}{space 1}   -3.72{col 60}{space 3}0.000{col 68}{space 4}-2.439242{col 81}{space 3}-.7565285
{txt}{space 19}polity2 {c |}{col 28}{res}{space 2}-.0190991{col 40}{space 2} .0251704{col 51}{space 1}   -0.76{col 60}{space 3}0.448{col 68}{space 4}-.0684323{col 81}{space 3} .0302341
{txt}{space 13}ln_population {c |}{col 28}{res}{space 2}-.0898332{col 40}{space 2} .1041847{col 51}{space 1}   -0.86{col 60}{space 3}0.389{col 68}{space 4}-.2940315{col 81}{space 3} .1143651
{txt}GDPpercapitaconstant2005US {c |}{col 28}{res}{space 2} .0000122{col 40}{space 2} .0000286{col 51}{space 1}    0.43{col 60}{space 3}0.669{col 68}{space 4}-.0000438{col 81}{space 3} .0000682
{txt}{space 16}government {c |}{col 28}{res}{space 2}  .541372{col 40}{space 2} .3054508{col 51}{space 1}    1.77{col 60}{space 3}0.076{col 68}{space 4}-.0573006{col 81}{space 3} 1.140045
{txt}{space 11}intensity_level {c |}{col 28}{res}{space 2} 1.842476{col 40}{space 2} .2241498{col 51}{space 1}    8.22{col 60}{space 3}0.000{col 68}{space 4}  1.40315{col 81}{space 3} 2.281801
{txt}{space 7}troop_incursion_opp {c |}{col 28}{res}{space 2} .0364076{col 40}{space 2} .3001533{col 51}{space 1}    0.12{col 60}{space 3}0.903{col 68}{space 4} -.551882{col 81}{space 3} .6246972
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 1.819747{col 40}{space 2}  1.88393{col 51}{space 1}    0.97{col 60}{space 3}0.334{col 68}{space 4}-1.872688{col 81}{space 3} 5.512183
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}/lnalpha {c |}{col 28}{res}{space 2} .9779066{col 40}{space 2} .1353822{col 68}{space 4} .7125624{col 81}{space 3} 1.243251
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                     alpha {c |}{col 28}{res}{space 2} 2.658884{col 40}{space 2} .3599655{col 68}{space 4}  2.03921{col 81}{space 3} 3.466865
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/sambell/Dropbox/Air Power and Civilian Deaths/FPA Manuscript/Final Materials/Replicaiton log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}26 May 2020, 14:05:57
{txt}{.-}
{smcl}
{txt}{sf}{ul off}